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Meta-Analysis
. 2014 Mar;46(3):234-44.
doi: 10.1038/ng.2897. Epub 2014 Feb 9.

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) ConsortiumAsian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) ConsortiumSouth Asian Type 2 Diabetes (SAT2D) ConsortiumMexican American Type 2 Diabetes (MAT2D) ConsortiumType 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) ConsortiumAnubha MahajanMin Jin GoWeihua ZhangJennifer E BelowKyle J GaultonTeresa FerreiraMomoko HorikoshiAndrew D JohnsonMaggie C Y NgInga ProkopenkoDanish SaleheenXu WangEleftheria ZegginiGoncalo R AbecasisLinda S AdairPeter AlmgrenMustafa AtalayTin AungDamiano BaldassarreBeverley BalkauYuqian BaoAnthony H BarnettInes BarrosoAbdul BasitLatonya F BeenJohn BeilbyGraeme I BellRafn BenediktssonRichard N BergmanBernhard O BoehmEric BoerwinkleLori L BonnycastleNoël BurttQiuyin CaiHarry CampbellJason CareyStephane CauchiMark CaulfieldJuliana C N ChanLi-Ching ChangTien-Jyun ChangYi-Cheng ChangGuillaume CharpentierChien-Hsiun ChenHan ChenYuan-Tsong ChenKee-Seng ChiaManickam ChidambaramPeter S ChinesNam H ChoYoung Min ChoLee-Ming ChuangFrancis S CollinsMarylin C CornelisDavid J CouperAndrew T CrenshawRob M van DamJohn DaneshDebashish DasUlf de FaireGeorge DedoussisPanos DeloukasAntigone S DimasChristian DinaAlex S DoneyPeter J DonnellyMozhgan DorkhanCornelia van DuijnJosée DupuisSarah EdkinsPaul ElliottValur EmilssonRaimund ErbelJohan G ErikssonJorge EscobedoTonu EskoElodie EuryJose C FlorezPierre FontanillasNita G ForouhiTom ForsenCaroline FoxRoss M FraserTimothy M FraylingPhilippe FroguelPhilippe FrossardYutang GaoKarl GertowChristian GiegerBruna GiganteHarald GrallertGeorge B GrantLeif C GrropChrisropher J GrovesElin GrundbergCandace GuiducciAnders HamstenBok-Ghee HanKazuo HaraNeelam HassanaliAndrew T HattersleyCaroline HaywardAsa K HedmanChristian HerderAlbert HofmanOddgeir L HolmenKees HovinghAstradur B HreidarssonCheng HuFrank B HuJennie HuiSteve E HumphriesSarah E HuntDavid J HunterKristian HveemZafar I HydrieHiroshi IkegamiThomas IlligErik IngelssonMuhammed IslamBo IsomaaAnne U JacksonTazeen JafarAlan JamesWeiping JiaKarl-Heinz JöckelAnna JonssonJeremy B M JowettTakashi KadowakiHyun Min KangStavroula KanoniWen Hong L KaoSekar KathiresanNorihiro KatoPrasad KatulandaKirkka M Keinanen-KiukaanniemiAnn M KellyHassan KhanKay-Tee KhawChiea-Chuen KhorHyung-Lae KimSangsoo KimYoung Jin KimLeena KinnunenNorman KloppAugustine KongEeva Korpi-HyövältiSudhir KowlessurPeter KraftJasmina KravicMalene M KristensenS KrithikaAshish KumarJesus KumateJohanna KuusistoSoo Heon KwakMarkku LaaksoVasiliki LagouTimo A LakkaClaudia LangenbergCordelia LangfordRobert LawrenceKarin LeanderJen-Mai LeeNanette R LeeMan LiXinzhong LiYun LiJunbin LiangSamuel LijuWei-Yen LimLars LindCecilia M LindgrenEero LindholmChing-Ti LiuJian Jun LiuStéphane LobbensJirong LongRuth J F LoosWei LuJian'an LuanValeriya LyssenkoRonald C W MaShiro MaedaReedik MägiSatu MännistoDavid R MatthewsJames B MeigsOlle MelanderAndres MetspaluJulia MeyerGhazala MirzaEvelin MihailovSusanne MoebusViswanathan MohanKaren L MohlkeAndrew D MorrisThomas W MühleisenMartina Müller-NurasyidBill MuskJiro NakamuraEitaro NakashimaPau NavarroPeng-Keat NgAlexandra C NicaPeter M NilssonInger NjølstadMarkus M NöthenKeizo OhnakaTwee Hee OngKatharine R OwenColin N A PalmerJames S PankowKyong Soo ParkMelissa ParkinSonali PechlivanisNancy L PedersenLeena PeltonenJohn R B PerryAnnette PetersJanini M PinidiyapathirageCarl G PlatouSimon PotterJackie F PriceLu QiVenkatesan RadhaLoukianos RallidisAsif RasheedWolfgang RathmanRainer RauramaaSoumya RaychaudhuriN William RaynerSimon D ReesEmil RehnbergSamuli RipattiNeil RobertsonMichael RodenElizabeth J RossinIgor RudanDenis RybinTimo E SaaristoVeikko SalomaaJuha SaltevoMaria SamuelDharambir K SangheraJouko SaramiesJames ScottLaura J ScottRobert A ScottAyellet V SegrèJoban SehmiBengt SennbladNabi ShahSonia ShahA Samad SheraXiao Ou ShuAlan R ShuldinerGunnar SigurđssonEric SijbrandsAngela SilveiraXueling SimSuthesh SivapalaratnamKerrin S SmallWing Yee SoAlena StančákováKari StefanssonGerald SteinbachValgerdur SteinthorsdottirKathleen StirrupsRona J StrawbridgeHeather M StringhamQi SunChen SuoAnn-Christine SyvänenRyoichi TakayanagiFumihiko TakeuchiWan Ting TayTanya M TeslovichBarbara ThorandGudmar ThorleifssonUnnur ThorsteinsdottirEmmi TikkanenJoseph TrakaloElena TremoliMieke D TripFuu Jen TsaiTiinamaija TuomiJaakko TuomilehtoAndre G UitterlindenAdan Valladares-SalgadoSailaja VedantamFabrizio VegliaBenjamin F VoightCongrong WangNicholas J WarehamRoman WennauerAnanda R WickremasingheTom WilsgaardJames F WilsonSteven WiltshireWendy WincklerTien Yin WongAndrew R WoodJer-Yuarn WuYing WuKen YamamotoToshimasa YamauchiMingyu YangLoic YengoMitsuhiro YokotaRobin YoungDelilah ZabanehFan ZhangRong ZhangWei ZhengPaul Z ZimmetDavid AltshulerDonald W BowdenYoon Shin ChoNancy J CoxMiguel CruzCraig L HanisJaspal KoonerJong-Young LeeMark SeielstadYik Ying TeoMichael BoehnkeEsteban J ParraJonh C ChambersE Shyong TaiMark I McCarthyAndrew P Morris
Meta-Analysis

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium et al. Nat Genet. 2014 Mar.

Abstract

To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.

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Conflict of interest statement

COMPETING FINANCIAL INTERESTS

K. Stefansson, V. Steinthorsdottir, G.T., and U.T. are employed by deCODE Genetics/Amgen inc. I.B. and spouse own stock in GlaxoSmithKline and Incyte.

Figures

Figure 1
Figure 1. Signal plots of the trans-ethnic “discovery” GWAS meta-analysis for novel T2D susceptibility loci
The trans-ethnic meta-analysis comprises 26,488 T2D cases and 83,964 controls from populations of European, East Asian, South Asian, and Mexican and Mexican American ancestry, imputed up to 2.5 million Phase II/III HapMap autosomal SNPs. Each point represents a SNP passing quality control in the trans-ethnic meta-analysis, plotted with their p-value (on a −log10 scale) as a function of genomic position (NCBI Build 36). In each panel, the lead SNP is represented by the purple symbol. The colour coding of all other SNPs indicates LD with the lead SNP (estimated by CEU r2 from Phase II HapMap): red r2≥0.8; gold 0.6≤r2<0.8; green 0.4≤r2<0.6; cyan 0.2≤r2<0.4; blue r2<0.2; grey r2 unknown. The shape of the plotting symbol corresponds to the annotation of the SNP: upward triangle for framestop or splice; downward triangle for non-synonymous; square for synonymous or UTR; and circle for intronic or non-coding. Recombination rates are estimated from Phase II HapMap and gene annotations are taken from the University of California Santa Cruz genome browser.
Figure 2
Figure 2. Signal plots presenting 99% credible sets of SNPs at the JAZF1 and SLC30A8 loci
The credible sets were constructed on the basis of: (i) the meta-analysis of European ancestry GWAS only (12,171 cases and 56,862 controls); and (ii) the trans-ethnic meta-analysis of European, East Asian, South Asian, and Mexican and Mexican American ancestry GWAS (26,488 cases and 83,964 controls). In each panel, each point represents a SNP passing quality control in the MANTRA analysis, plotted with their Bayes’ factor (on a log10 scale) as a function of genomic position (NCBI Build 36). The lead SNP is represented by the purple symbol. The colour coding of all other SNPs indicates LD with the lead SNP (estimated by Phase II HapMap CEU r2 for the European ancestry meta-analysis and CHB+JPT for the trans-ethnic meta-analysis to highlight differences in structure between ancestry groups): red r2≥0.8; gold 0.6≤r2<0.8; green 0.4≤r2<0.6; cyan 0.2≤r2<0.4; blue r2<0.2; grey r2 unknown. The shape of the plotting symbol corresponds to the annotation of the SNP: upward triangle for framestop or splice; downward triangle for non-synonymous; square for synonymous or UTR; and circle for intronic or non-coding. Recombination rates are estimated from Phase II HapMap and gene annotations are taken from the University of California Santa Cruz genome browser. The genomic region covered by the 99% credible set is highlighted in grey.

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